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Arimoro Olayinka Imisioluwa
In this 2 hour-long project, you will learn the basics of R programming language. In addition, you will take your first steps in the use of R programming language for Data Analysis.
By the end of this 2-hour long project, you will understand how to use the R GUI called R studio. By extension, you will learn the different data types and data structures used in R. Finally, you will learn how to install packages and how to import data sets into the R studio work space.
Read more
In this 2 hour-long project, you will learn the basics of R programming language. In addition, you will take your first steps in the use of R programming language for Data Analysis.
By the end of this 2-hour long project, you will understand how to use the R GUI called R studio. By extension, you will learn the different data types and data structures used in R. Finally, you will learn how to install packages and how to import data sets into the R studio work space.
Read more
In this 2 hour-long project, you will learn the basics of R programming language. In addition, you will take your first steps in the use of R programming language for Data Analysis.
By the end of this 2-hour long project, you will understand how to use the R GUI called R studio. By extension, you will learn the different data types and data structures used in R. Finally, you will learn how to install packages and how to import data sets into the R studio work space.
This course is aimed at learners who are looking to get started with the R programming language. There are no hard prerequisites and any competent computer user should be able to complete the project successfully.
Register for this course and see more details by visiting:
OpenCourser.com/course/a58waw/getting
What's inside
Syllabus
Project Overview
Welcome to this project-based course Getting Started with R. In this project, you will learn the basics of R programming language. In addition, you will take your first steps in the use of R programming language for Data Analysis. By the end of this 2-hour long project, you will understand how to use the R GUI called R studio. By extension, you will learn the different data types and data structures used in R. Finally, you will learn how to install packages and how to import data sets into the R studio work space.
This course is aimed at learners who are looking to get started with the R programming language. There are no hard prerequisites and any competent computer user should be able to complete the project successfully.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to a new software, R programming language
Guides learners through use of R programming language for Data Analysis
Introduces R GUI called R Studio for data analysis
Open to a wide range of computer users
Lays a foundation for using R programming language
Save this course
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Reviews summary
Essentials of r for beginners
learners say this is a well-received introductory course in learning the basics of R. It covers the essentials and steps to code in R, and is beginner-friendly. However, the course may be too basic for those who already have some experience. Some learners also find the instructor's accent difficult to understand.
Content is well-structured with clear instructions for beginners.
"This course is very good for beginners who don't have any experience in R programming. The instructor taught steps by steps with very clear instructions."
Course serves as a great introduction to R for complete beginners.
"This is a perfect first step in R."
"Very simple and concise, effective at the same time. This is exactly what I hoped for in this lecture."
"I didn't where to start learning R, this is such a great way to start R course for super beginners like me"
Some learners find the instructor's accent difficult to understand.
"The accent of the instructor was bad and sometimes he was making minor mistakes during the lectures, making the course very difficult to attend properly."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Getting Started with R with these
activities:
Review R fundamentals
Show steps
Recall and prepare foundational knowledge on R programming fundamentals to refresh memory and improve course comprehension.
Browse courses on
R Programming
Show steps
-
Review R syntax and data types
-
Practice writing simple R expressions
-
Review functions and packages in R
Seek guidance from R programming mentors
Show steps
Connect with experienced R programmers to gain insights, receive personalized guidance, and enhance learning outcomes.
Show steps
-
Identify potential mentors within the R programming community
-
Reach out and request guidance, feedback, and support
-
Attend workshops or events where R programming mentors are present
Follow R tutorials for beginners
Show steps
Explore external R programming tutorials and resources to supplement the course material and enhance practical skills.
Show steps
-
Identify reputable R programming tutorials
-
Follow tutorials to practice basic R functions and concepts
-
Experiment with code examples and apply to practice problems
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve R programming exercises
Show steps
Reinforce understanding of R concepts by solving practice problems and exercises to solidify knowledge.
Show steps
-
Find R programming exercises and practice problems
-
Solve exercises and debug code independently
-
Review solutions and reflect on areas for improvement
Participate in R programming study group
Show steps
Collaborate and connect with peers to discuss R concepts, share knowledge, and enhance understanding through collective learning.
Show steps
-
Join or form a peer study group focused on R programming
-
Meet regularly to discuss course material, solve problems, and exchange ideas
-
Provide support and feedback to group members
Build a simple R project
Show steps
Apply R programming skills to a practical project, demonstrating proficiency and enhancing understanding of real-world applications.
Show steps
-
Identify a small-scale R programming project idea
-
Gather and prepare data for the project
-
Write R code to analyze data and present findings
Organize and review course materials
Show steps
Organize and review notes, exercises, and resources from the course to enhance retention and understanding.
Show steps
-
Gather and organize course materials in a structured format
-
Review materials regularly to reinforce concepts
-
Identify areas for further exploration and research
Review R fundamentals
Show steps
Recall and prepare foundational knowledge on R programming fundamentals to refresh memory and improve course comprehension.
Browse courses on
R Programming
Show steps
Show steps
Show steps
- Review R syntax and data types
- Practice writing simple R expressions
- Review functions and packages in R
Seek guidance from R programming mentors
Show steps
Connect with experienced R programmers to gain insights, receive personalized guidance, and enhance learning outcomes.
Show steps
Show steps
Show steps
- Identify potential mentors within the R programming community
- Reach out and request guidance, feedback, and support
- Attend workshops or events where R programming mentors are present
Follow R tutorials for beginners
Show steps
Explore external R programming tutorials and resources to supplement the course material and enhance practical skills.
Show steps
Show steps
Show steps
- Identify reputable R programming tutorials
- Follow tutorials to practice basic R functions and concepts
- Experiment with code examples and apply to practice problems
Four other activities
Expand to see all activities and additional details
Show all seven activities
Solve R programming exercises
Show steps
Reinforce understanding of R concepts by solving practice problems and exercises to solidify knowledge.
Show steps
Show steps
Show steps
- Find R programming exercises and practice problems
- Solve exercises and debug code independently
- Review solutions and reflect on areas for improvement
Participate in R programming study group
Show steps
Collaborate and connect with peers to discuss R concepts, share knowledge, and enhance understanding through collective learning.
Show steps
Show steps
Show steps
- Join or form a peer study group focused on R programming
- Meet regularly to discuss course material, solve problems, and exchange ideas
- Provide support and feedback to group members
Build a simple R project
Show steps
Apply R programming skills to a practical project, demonstrating proficiency and enhancing understanding of real-world applications.
Show steps
Show steps
Show steps
- Identify a small-scale R programming project idea
- Gather and prepare data for the project
- Write R code to analyze data and present findings
Organize and review course materials
Show steps
Organize and review notes, exercises, and resources from the course to enhance retention and understanding.
Show steps
Show steps
Show steps
- Gather and organize course materials in a structured format
- Review materials regularly to reinforce concepts
- Identify areas for further exploration and research
Career center
Learners who complete Getting Started with R will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers use their skills in data analysis and machine learning to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Machine Learning Engineer.
Business Analyst
Business Analyst
Business Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Business Analyst.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as an Operations Research Analyst.
Statistician
Statistician
Statisticians use their knowledge of mathematics and statistics to design and conduct surveys, collect and analyze data, and interpret the results. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Statistician.
Data Architect
Data Architect
Data Architects use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Architect.
Software Engineer
Software Engineer
Software Engineers use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Software Engineer.
Data Analyst
Data Analyst
Data Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Analyst.
Web Developer
Web Developer
Web Developers use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Web Developer.
Financial Analyst
Financial Analyst
Financial Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Financial Analyst.
Data Engineer
Data Engineer
Data Engineers use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Data Engineer.
Big Data Analyst
Big Data Analyst
Big Data Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Big Data Analyst.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Quantitative Analyst.
Actuary
Actuary
Actuaries use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as an Actuary.
Research Analyst
Research Analyst
Research Analysts use their skills in data analysis to help businesses make informed decisions. This course is a great way to learn the basics of R programming, which is a popular tool for data analysis. By taking this course, you can gain the skills you need to succeed as a Research Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/a58waw/getting
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Getting Started with R.
A comprehensive guide to machine learning with R, covering supervised and unsupervised learning methods.
A comprehensive guide to data science with R, covering data wrangling, analysis, and visualization.
A comprehensive guide to R programming, with a focus on modern R practices.
A comprehensive guide to statistical learning with R, covering supervised and unsupervised learning methods.
A guide to ggplot2, a powerful R package for data visualization.
A guide to deep learning with R, covering the basics of deep learning as well as advanced topics.
Save
A hands-on guide to R programming, with a focus on data visualization and analysis.
Save
A classic reference guide to R programming, covering the basics of the language as well as advanced topics.
Save
A collection of recipes for common R tasks, covering data manipulation, analysis, and visualization.
A practical guide to R programming, with a focus on data analysis and visualization.
Save
A concise and practical guide to R for data science, covering the basics of data manipulation and analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/a58waw/getting
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Arimoro Olayinka Imisioluwa
Language
English
Good to know
Introduces learners to a new software, R programming language
Guides learners through use of R programming language for Data Analysis
Introduces R GUI called R Studio for data analysis
Open to a wide range of computer users
Lays a foundation for using R programming language
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